imitation learning

Off-Policy Imitation Learning from Observations NeurIPS 2020 Policy Improvement via Imitation of Multiple Oracles NeurIPS 2020 Provable Representation Learning for Imitation Learning via Bi-level Optimization ICML 2020 Provably Efficient Third-Person Imitation from Offline Observation UAI 2020 Regularizing Dialogue Generation by Imitating Implicit Scenarios EMNLP 2020 Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving RSS 2020 Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance AAAI 2020 Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences ICML 2020 Simultaneously Learning Transferable Symbols and Language Groundings from Perceptual Data for Instruction Following RSS 2020 SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards ICLR 2020 State Alignment-based Imitation Learning ICLR 2020 State-only Imitation with Transition Dynamics Mismatch ICLR 2020 Strictly Batch Imitation Learning by Energy-based Distribution Matching NeurIPS 2020 Synthesizing Programmatic Policies that Inductively Generalize ICLR 2020 Tackling the Low-resource Challenge for Canonical Segmentation EMNLP 2020 The MAGICAL Benchmark for Robust Imitation NeurIPS 2020 Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract) AAAI 2020 Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion CoRL 2020 Towards Embodied Scene Description RSS 2020 Toward the Fundamental Limits of Imitation Learning NeurIPS 2020 Training Stronger Baselines for Learning to Optimize NeurIPS 2020 Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets IJCAI 2020 Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions AISTATS 2020 Two-stage Behavior Cloning for Spoken Dialogue System in Debt Collection IJCAI 2020 Variational Adversarial Kernel Learned Imitation Learning AAAI 2020